Estimation of inner-domain temperatures for a freezing process

Christoph Josef Backi; Jan Dimon Bendtsen; John Leth; Jan Tommy Gravdahl

doi:10.1109/CCA.2014.6981567

Estimation of inner-domain temperatures for a freezing process

Christoph Josef Backi, Jan Dimon Bendtsen, John Leth, Jan Tommy Gravdahl^*

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

4 Citationer (Scopus)

Abstract

In this paper a state observer for a distributed parameter system (DPS) with nonconstant parameter functions is presented. The DPS describes the freezing of foodstuff in vertical plate freezers and is a nonlinear heat equation. The observer is based upon the Extended Kalman Filter, meaning that the nonlinear heat equation has been discretized in the spatial domain before designing the observer. We show that the observer is robust with respect to perturbations of parameter functions and noisy measurement signals and that the innerdomain temperatures can be correctly estimated.

Originalsprog	Engelsk
Titel	Control Applications (CCA), 2014 IEEE Conference on
Antal sider	6
Forlag	IEEE Press
Publikationsdato	1 jan. 2014
Sider	1759-1764
Artikelnummer	6981567
ISBN (Trykt)	9781479974092
DOI	https://doi.org/10.1109/CCA.2014.6981567
Status	Udgivet - 1 jan. 2014
Begivenhed	IEEE Multi-Conference on Systems and Control (MSC) - Antibes, Nice/Antibes, Frankrig Varighed: 8 okt. 2014 → 10 okt. 2014

Konference

Konference	IEEE Multi-Conference on Systems and Control (MSC)
Lokation	Antibes
Land/Område	Frankrig
By	Nice/Antibes
Periode	08/10/2014 → 10/10/2014

Navn	I E E E International Conference on Control Applications. Proceedings
ISSN	1085-1992

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10.1109/CCA.2014.6981567

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Citationsformater

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title = "Estimation of inner-domain temperatures for a freezing process",

abstract = "In this paper a state observer for a distributed parameter system (DPS) with nonconstant parameter functions is presented. The DPS describes the freezing of foodstuff in vertical plate freezers and is a nonlinear heat equation. The observer is based upon the Extended Kalman Filter, meaning that the nonlinear heat equation has been discretized in the spatial domain before designing the observer. We show that the observer is robust with respect to perturbations of parameter functions and noisy measurement signals and that the innerdomain temperatures can be correctly estimated.",

author = "Backi, {Christoph Josef} and {Dimon Bendtsen}, Jan and John Leth and Gravdahl, {Jan Tommy}",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/CCA.2014.6981567",

language = "English",

isbn = "9781479974092",

series = "I E E E International Conference on Control Applications. Proceedings",

publisher = "IEEE Press",

pages = "1759--1764",

booktitle = "Control Applications (CCA), 2014 IEEE Conference on",

note = "IEEE Multi-Conference on Systems and Control (MSC) ; Conference date: 08-10-2014 Through 10-10-2014",

}

Backi, CJ, Dimon Bendtsen, J , Leth, J & Gravdahl, JT 2014, Estimation of inner-domain temperatures for a freezing process. i Control Applications (CCA), 2014 IEEE Conference on., 6981567, IEEE Press, I E E E International Conference on Control Applications. Proceedings, s. 1759-1764, IEEE Multi-Conference on Systems and Control (MSC), Nice/Antibes, Frankrig, 08/10/2014. https://doi.org/10.1109/CCA.2014.6981567

Estimation of inner-domain temperatures for a freezing process. / Backi, Christoph Josef; Dimon Bendtsen, Jan ; Leth, John et al.
Control Applications (CCA), 2014 IEEE Conference on. IEEE Press, 2014. s. 1759-1764 6981567 (I E E E International Conference on Control Applications. Proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Estimation of inner-domain temperatures for a freezing process

AU - Backi, Christoph Josef

AU - Dimon Bendtsen, Jan

AU - Leth, John

AU - Gravdahl, Jan Tommy

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In this paper a state observer for a distributed parameter system (DPS) with nonconstant parameter functions is presented. The DPS describes the freezing of foodstuff in vertical plate freezers and is a nonlinear heat equation. The observer is based upon the Extended Kalman Filter, meaning that the nonlinear heat equation has been discretized in the spatial domain before designing the observer. We show that the observer is robust with respect to perturbations of parameter functions and noisy measurement signals and that the innerdomain temperatures can be correctly estimated.

AB - In this paper a state observer for a distributed parameter system (DPS) with nonconstant parameter functions is presented. The DPS describes the freezing of foodstuff in vertical plate freezers and is a nonlinear heat equation. The observer is based upon the Extended Kalman Filter, meaning that the nonlinear heat equation has been discretized in the spatial domain before designing the observer. We show that the observer is robust with respect to perturbations of parameter functions and noisy measurement signals and that the innerdomain temperatures can be correctly estimated.

U2 - 10.1109/CCA.2014.6981567

DO - 10.1109/CCA.2014.6981567

M3 - Article in proceeding

AN - SCOPUS:84920517973

SN - 9781479974092

T3 - I E E E International Conference on Control Applications. Proceedings

SP - 1759

EP - 1764

BT - Control Applications (CCA), 2014 IEEE Conference on

PB - IEEE Press

T2 - IEEE Multi-Conference on Systems and Control (MSC)

Y2 - 8 October 2014 through 10 October 2014

ER -

Estimation of inner-domain temperatures for a freezing process

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